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Key benefits

Build real-world computer vision, natural language, and time series applications

Learn how to overcome issues such as overfitting with techniques such as data augmentation

Master transfer learning—what it is and how to build applications with pre-trained models

Purchase of the print or Kindle book includes a free PDF eBook

Description

The TensorFlow Developer Certificate Guide is an indispensable resource for machine learning enthusiasts and data professionals seeking to master TensorFlow and validate their skills by earning the certification. This practical guide equips you with the skills and knowledge necessary to build robust deep learning models that effectively tackle real-world challenges across diverse industries. You’ll embark on a journey of skill acquisition through easy-to-follow, step-by-step explanations and practical examples, mastering the craft of building sophisticated models using TensorFlow 2.x and overcoming common hurdles such as overfitting and data augmentation. With this book, you’ll discover a wide range of practical applications, including computer vision, natural language processing, and time series prediction. To prepare you for the TensorFlow Developer Certificate exam, it offers comprehensive coverage of exam topics, including image classification, natural language processing (NLP), and time series analysis. With the TensorFlow certification, you’ll be primed to tackle a broad spectrum of business problems and advance your career in the exciting field of machine learning. Whether you are a novice or an experienced developer, this guide will propel you to achieve your aspirations and become a highly skilled TensorFlow professional.

Who is this book for?

This book is for machine learning and data science enthusiasts, as well as data professionals aiming to demonstrate their expertise in building deep learning applications with TensorFlow. Through a comprehensive hands-on approach, this book covers all the essential exam prerequisites to equip you with the skills needed to excel as a TensorFlow developer and advance your career in machine learning. A fundamental grasp of Python programming is the only prerequisite.

What you will learn

Prepare for success in the TensorFlow Developer Certification exam

Master regression and classification modelling with TensorFlow 2.x

Build, train, evaluate, and fine-tune deep learning models

Combat overfitting using techniques such as dropout and data augmentation

Classify images, encompassing preprocessing and image data augmentation

Apply TensorFlow for NLP tasks like text classification and generation

Predict time series data, such as stock prices

Explore real-world case studies and engage in hands-on exercises

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

50 Algorithms Every Programmer Should Know

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Interpretable Machine Learning with Python

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£33.99

Total £ 109.97

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Amazon verified reviews

H2N Oct 26, 2023

The book is an essential guide for aspirants of the TensorFlow Developer Certificate exam. Starting with foundational machine learning principles, the book systematically advances readers through TensorFlow's vast ecosystem, emphasizing hands-on learning. Beyond explaining model building, it offers insights on evaluating them, from linear regression to neural networks. It extensively covers Convolutional Neural Networks, addressing challenges like overfitting. The book excels in discussing Natural Language Processing, detailing from basics to advanced techniques. The conclusive chapters blend theory and practice in time series forecasting. More than a study guide, this book is a comprehensive journey into TensorFlow's depths.

Amazon Verified review

Grace Dec 28, 2023

This book helped me understand deep learning models for time series forecasting. Most importantly the book does not assume your expertise and explains the nitty-gritty of the models to every level of machine learning expertise from beginners to experts.

shakir Jan 27, 2024

A 5 star as I was able to pass mainly by preparing on the examples in this book :). Some of the explanations were a bit hard to understand, I just went through the notebooks on github though... The beginning chapters were some what easy to digest.

Steven Fernandes Oct 29, 2023

This guide is an essential resource for those aiming to pass the TensorFlow Developer Certification exam. It covers the breadth of TensorFlow 2.x applications, teaching readers to master regression and classification modeling. Readers will learn to build, train, evaluate, and refine deep learning models while employing strategies to prevent overfitting, such as dropout and data augmentation. The book delves into image classification with preprocessing techniques, applies TensorFlow to natural language processing tasks like text classification and generation, and tackles the prediction of time series data, including stock prices. Real-world case studies and practical exercises solidify the learning experience.

Om S Oct 10, 2023

This comprehensive guide covers all exam topics and offers hands-on, step-by-step guidance to help you achieve TensorFlow certification. It equips you with essential skills to build robust deep learning models for real-world applications, such as computer vision, natural language processing, and time series prediction.The book addresses common challenges like overfitting, data augmentation, and transfer learning, making it suitable for both beginners and experienced developers. It thoroughly prepares you for the TensorFlow Developer Certification exam, covering regression, classification, NLP, and more. Whether you're new to machine learning or a seasoned pro, this guide will help you excel in the exciting field of TensorFlow and advance your career. The only prerequisite is a basic understanding of Python programming.

TensorFlow Developer Certificate Guide: Efficiently tackle deep learning and ML problems to ace the Developer Certificate exam

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